Bioelectrical impedance analysis–derived phase angle predicts sarcopenia in patients on maintenance hemodialysis

肌萎缩 医学 生物电阻抗分析 接收机工作特性 内科学 血液透析 优势比 逻辑回归 混淆 置信区间 体质指数 胃肠病学 心脏病学
作者
Ying Wang,Yezi Hu,Mengyan Zhang,Hui Jin,Yi Wen,Ri‐Ning Tang,Bin Wang,Bi‐Cheng Liu,Hong Liu
出处
期刊:Nutrition in Clinical Practice [Wiley]
卷期号:38 (4): 881-888 被引量:5
标识
DOI:10.1002/ncp.10967
摘要

This study aimed to investigate the association between phase angle (PhA) and sarcopenia and evaluate its performance as a sarcopenia predictor in patients receveing maintenance hemodialysis (MHD).All enrolled patients underwent handgrip strength (HGS) and the 6-m walk test, and muscle mass was measured using bioelectrical impedance analysis. Sarcopenia was diagnosed according to the diagnostic criteria of the Asian Sarcopenia Working Group. Logistic regression analysis was used to evaluate the PhA as an independent predictor of sarcopenia after adjusting for confounding factors. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of PhA in sarcopenia.Two hundred forty-one patients receiving hemodialysis were enrolled in this study, and the prevalence of sarcopenia was 28.2%. Patients with sarcopenia presented a lower PhA value (4.7° vs 5.5°; P < 0.001), lower muscle mass index (6.0 vs 7.2 [kg/m2 ]; P < 0.001), lower HGS (19.7 vs 26.0 [kg]; P < 0.001), and lower walk speed (0.83 ± 0.27 vs 0.92 ± 0.23 [m/s]; P = 0.007) than patients without sarcopenia. The odds of patients receiving MHD presenting with sarcopenia increased as PhA decreased, even after adjustment (odds ratio = 0.39; 95% CI, 0.18-0.85; P = 0.019). ROC analysis revealed that the best cutoff value of PhA for sarcopenia was 4.95° in patients receiving MHD.PhA may be a useful and simple predictor for predicting patients undergoing hemodialysis who are at risk of sarcopenia. To further facilitate the application of PhA in the diagnosis of sarcopenia, more research need to be conducted.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
健忘的金完成签到 ,获得积分10
1秒前
brittany发布了新的文献求助10
2秒前
revive发布了新的文献求助10
2秒前
3秒前
3秒前
4秒前
4秒前
潭潭完成签到,获得积分10
4秒前
qiqi1111发布了新的文献求助10
6秒前
7秒前
7秒前
ch发布了新的文献求助10
7秒前
行毅文完成签到,获得积分10
7秒前
zhj发布了新的文献求助10
8秒前
酷波er应助机智的访云采纳,获得10
9秒前
YilinHou应助糖糖采纳,获得10
9秒前
9秒前
关灯完成签到,获得积分10
10秒前
10秒前
muzi发布了新的文献求助10
10秒前
10秒前
北过完成签到,获得积分10
10秒前
11秒前
11秒前
13秒前
韩梅发布了新的文献求助10
15秒前
米缸完成签到,获得积分10
16秒前
大模型应助中央戏精学院采纳,获得10
17秒前
Silole发布了新的文献求助10
17秒前
野性的沉鱼完成签到,获得积分10
17秒前
18秒前
yangyajie发布了新的文献求助10
18秒前
18秒前
Yang发布了新的文献求助10
20秒前
李爱国应助辛羽采纳,获得50
21秒前
CipherSage应助张子珍采纳,获得10
21秒前
迅速思萱完成签到,获得积分10
21秒前
皮咻发布了新的文献求助20
21秒前
动漫大师发布了新的文献求助10
22秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3741065
求助须知:如何正确求助?哪些是违规求助? 3283833
关于积分的说明 10037107
捐赠科研通 3000659
什么是DOI,文献DOI怎么找? 1646647
邀请新用户注册赠送积分活动 783804
科研通“疑难数据库(出版商)”最低求助积分说明 750427